mirror of
https://github.com/prometheus/prometheus.git
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224 lines
6.9 KiB
Go
224 lines
6.9 KiB
Go
// Copyright 2013 The Prometheus Authors
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package rules
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import (
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"fmt"
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"strings"
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"testing"
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"time"
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clientmodel "github.com/prometheus/client_golang/model"
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"github.com/prometheus/prometheus/promql"
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"github.com/prometheus/prometheus/storage/local"
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"github.com/prometheus/prometheus/storage/metric"
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)
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var (
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testSampleInterval = time.Duration(5) * time.Minute
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testStartTime = clientmodel.Timestamp(0)
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)
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func getTestValueStream(startVal clientmodel.SampleValue, endVal clientmodel.SampleValue, stepVal clientmodel.SampleValue, startTime clientmodel.Timestamp) (resultValues metric.Values) {
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currentTime := startTime
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for currentVal := startVal; currentVal <= endVal; currentVal += stepVal {
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sample := metric.SamplePair{
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Value: currentVal,
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Timestamp: currentTime,
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}
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resultValues = append(resultValues, sample)
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currentTime = currentTime.Add(testSampleInterval)
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}
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return resultValues
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}
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func getTestVectorFromTestMatrix(matrix promql.Matrix) promql.Vector {
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vector := promql.Vector{}
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for _, sampleStream := range matrix {
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lastSample := sampleStream.Values[len(sampleStream.Values)-1]
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vector = append(vector, &promql.Sample{
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Metric: sampleStream.Metric,
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Value: lastSample.Value,
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Timestamp: lastSample.Timestamp,
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})
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}
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return vector
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}
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func storeMatrix(storage local.Storage, matrix promql.Matrix) {
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pendingSamples := clientmodel.Samples{}
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for _, sampleStream := range matrix {
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for _, sample := range sampleStream.Values {
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pendingSamples = append(pendingSamples, &clientmodel.Sample{
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Metric: sampleStream.Metric.Metric,
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Value: sample.Value,
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Timestamp: sample.Timestamp,
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})
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}
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}
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for _, s := range pendingSamples {
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storage.Append(s)
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}
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storage.WaitForIndexing()
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}
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func vectorComparisonString(expected []string, actual []string) string {
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separator := "\n--------------\n"
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return fmt.Sprintf("Expected:%v%v%v\nActual:%v%v%v ",
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separator,
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strings.Join(expected, "\n"),
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separator,
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separator,
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strings.Join(actual, "\n"),
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separator)
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}
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func annotateWithTime(lines []string, timestamp clientmodel.Timestamp) []string {
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annotatedLines := []string{}
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for _, line := range lines {
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annotatedLines = append(annotatedLines, fmt.Sprintf(line, timestamp))
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}
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return annotatedLines
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}
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var testMatrix = promql.Matrix{
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "http_requests",
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clientmodel.JobLabel: "api-server",
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"instance": "0",
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"group": "canary",
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},
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},
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Values: getTestValueStream(0, 300, 30, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "http_requests",
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clientmodel.JobLabel: "api-server",
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"instance": "1",
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"group": "canary",
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},
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},
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Values: getTestValueStream(0, 400, 40, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "http_requests",
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clientmodel.JobLabel: "app-server",
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"instance": "0",
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"group": "canary",
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},
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},
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Values: getTestValueStream(0, 700, 70, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "http_requests",
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clientmodel.JobLabel: "app-server",
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"instance": "1",
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"group": "canary",
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},
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},
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Values: getTestValueStream(0, 800, 80, testStartTime),
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},
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}
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func TestAlertingRule(t *testing.T) {
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// Labels in expected output need to be alphabetically sorted.
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var evalOutputs = [][]string{
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{
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`ALERTS{alertname="HttpRequestRateLow", alertstate="pending", group="canary", instance="0", job="app-server", severity="critical"} => 1 @[%v]`,
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`ALERTS{alertname="HttpRequestRateLow", alertstate="pending", group="canary", instance="1", job="app-server", severity="critical"} => 1 @[%v]`,
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},
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{
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`ALERTS{alertname="HttpRequestRateLow", alertstate="pending", group="canary", instance="0", job="app-server", severity="critical"} => 0 @[%v]`,
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`ALERTS{alertname="HttpRequestRateLow", alertstate="firing", group="canary", instance="0", job="app-server", severity="critical"} => 1 @[%v]`,
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`ALERTS{alertname="HttpRequestRateLow", alertstate="pending", group="canary", instance="1", job="app-server", severity="critical"} => 0 @[%v]`,
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`ALERTS{alertname="HttpRequestRateLow", alertstate="firing", group="canary", instance="1", job="app-server", severity="critical"} => 1 @[%v]`,
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},
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{
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`ALERTS{alertname="HttpRequestRateLow", alertstate="firing", group="canary", instance="1", job="app-server", severity="critical"} => 0 @[%v]`,
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`ALERTS{alertname="HttpRequestRateLow", alertstate="firing", group="canary", instance="0", job="app-server", severity="critical"} => 0 @[%v]`,
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},
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{
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/* empty */
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},
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{
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/* empty */
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},
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}
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storage, closer := local.NewTestStorage(t, 1)
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defer closer.Close()
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storeMatrix(storage, testMatrix)
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engine := promql.NewEngine(storage)
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defer engine.Stop()
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expr, err := promql.ParseExpr(`http_requests{group="canary", job="app-server"} < 100`)
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if err != nil {
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t.Fatalf("Unable to parse alert expression: %s", err)
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}
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alertLabels := clientmodel.LabelSet{
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"severity": "critical",
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}
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rule := NewAlertingRule("HttpRequestRateLow", expr, time.Minute, alertLabels, "summary", "description")
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for i, expectedLines := range evalOutputs {
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evalTime := testStartTime.Add(testSampleInterval * time.Duration(i))
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res, err := rule.Eval(evalTime, engine)
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if err != nil {
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t.Fatalf("Error during alerting rule evaluation: %s", err)
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}
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actualLines := strings.Split(res.String(), "\n")
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expectedLines := annotateWithTime(expectedLines, evalTime)
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if actualLines[0] == "" {
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actualLines = []string{}
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}
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failed := false
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if len(actualLines) != len(expectedLines) {
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t.Errorf("%d. Number of samples in expected and actual output don't match (%d vs. %d)", i, len(expectedLines), len(actualLines))
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failed = true
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}
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for j, expectedSample := range expectedLines {
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found := false
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for _, actualSample := range actualLines {
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if actualSample == expectedSample {
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found = true
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}
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}
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if !found {
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t.Errorf("%d.%d. Couldn't find expected sample in output: '%v'", i, j, expectedSample)
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failed = true
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}
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}
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if failed {
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t.Fatalf("%d. Expected and actual outputs don't match:\n%v", i, vectorComparisonString(expectedLines, actualLines))
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}
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}
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}
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